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Merchant ship classification in high-resolution SAR image based on joint superstructure scattering features.
- Source :
-
Imaging Science Journal . Jul-Dec2021, Vol. 69 Issue 5-8, p270-274. 5p. - Publication Year :
- 2021
-
Abstract
- Ship classification has long been a challenging task in synthetic aperture radar (SAR) applications. With the improvement of SAR resolution, it has gradually become possible based on high-resolution SAR images. This letter presents a joint feature representation method for characterizing the superstructure scattering features of merchant ships, and then a hierarchical scheme for classifying merchant ships in high-resolution SAR images based on integrated macro and detailed superstructure features is proposed. Comprehensive experiment on three types of high-resolution SAR samples demonstrates that the proposed features and method have the ability to improve the performance of merchant ship classification in SAR images. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MERCHANT ships
*SYNTHETIC aperture radar
*IMAGE recognition (Computer vision)
Subjects
Details
- Language :
- English
- ISSN :
- 13682199
- Volume :
- 69
- Issue :
- 5-8
- Database :
- Academic Search Index
- Journal :
- Imaging Science Journal
- Publication Type :
- Academic Journal
- Accession number :
- 162512255
- Full Text :
- https://doi.org/10.1080/13682199.2022.2157959